Top Senior Level Scala Jobs in Portland, OR

The Sr. Backend Engineer will develop and ship high-quality features in a scalable environment, review code for best practices, mentor team members, ensure monitoring of backend services, and participate in Agile ceremonies while solving complex problems.

As a Data Platform Engineering Manager, you will lead a team to build scalable data solutions, focusing on data processing from production systems to data lakes and warehouses. You will ensure data quality, mentor engineers, and contribute to platform strategies in a collaborative environment.

As a Principal Solutions Architect, you will manage multiple customer projects, build relationships with client executives, guide clients through complex data challenges, lead SAP data migrations into Enterprise Data Warehouses, and drive SAP S/4HANA upgrades, collaborating closely with cross-functional teams and providing strategic guidance.

As a Data Platform Engineering Manager, you will lead a team to develop a robust data platform. Responsibilities include building scalable data systems, ensuring data quality, mentoring team members, and collaborating across departments to enhance decision-making with data.

The Head of Quality Engineering will lead quality functions across multiple platforms, creating and executing a quality assurance strategy, optimizing automated processes, and collaborating with teams to ensure high-quality software delivery. Key responsibilities include driving a culture of excellence, integrating quality into CI/CD pipelines, and managing quality metrics and third-party partners.

As a Staff Software Engineer at SentinelOne, you will lead the development of the Security Data Lake, processing large volumes of data. Your responsibilities include software development, code review, architecture design, and providing team guidance. You will implement new features while ensuring code quality, stability, and security.

As a Senior Software Engineer II for ML Core, you will define architecture and implement changes for backend services. Responsibilities include optimizing search infrastructure, enabling rapid ML model productionalization, mentoring team members, and managing complex projects across teams.